carentan_warfare

Carentan Warfare Day

07.11.2025 20:42 | [GER] Fliesentisch-Veteranen #1 | BFTB | Lvl 15+

Result

5:0

Axis wins

Players

132

Total Kills

1,148

Allied Kills

459

Axis Kills

689

Match Duration

42 min

Kills/Min

27.5

Very High Match ELO

Allies 1333.0 (all: 881.0)
Ø Match 1500.0
Axis 1668.0 (all: 904.0)
Highly imbalanced

Player Statistics (132)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2682 55 16 3.44 0 675 200 420 175 37 min
#2 1633 44 12 3.67 0 619 360 260 55 37 min
#3 1957 43 12 3.58 0 594 220 340 85 37 min
#4 1178 40 10 4.0 0 315 120 480 15 36 min
#5 1808 37 15 2.47 0 634 320 320 342 37 min
#6 1795 30 15 2.0 0 376 100 460 80 37 min
#7 2203 29 13 2.23 0 628 120 480 668 39 min
#8 961 29 11 2.64 0 439 140 480 100 37 min
#9 1442 29 9 3.22 0 390 120 360 30 37 min
#10 1358 28 13 2.15 0 336 320 100 206 27 min
#11 1260 25 15 1.67 0 346 300 340 120 37 min
#12 873 24 15 1.6 0 351 200 340 185 37 min
#13 763 22 3 7.33 4 291 0 720 1,832 40 min
#14 1017 21 13 1.62 0 362 120 500 240 37 min
#15 905 19 2 9.5 0 443 100 620 60 37 min
#16 736 18 7 2.57 0 411 100 600 105 37 min
#17 838 18 7 2.57 2 358 320 400 2,366 37 min
#18 873 18 5 3.6 0 192 160 520 505 37 min
#19 1391 17 18 0.94 0 344 360 220 175 37 min
#20 918 17 17 1.0 0 154 220 340 235 37 min
#21 1053 16 10 1.6 1 430 160 460 70 37 min
#22 1139 16 15 1.07 4 242 120 400 95 37 min
#23 1137 15 17 0.88 1 241 160 340 5 37 min
#24 1293 14 11 1.27 0 279 320 200 105 37 min
#25 750 14 13 1.08 0 123 60 600 95 38 min
#26 751 13 16 0.81 0 265 280 320 525 37 min
#27 847 13 22 0.59 0 224 180 260 255 37 min
#28 696 13 16 0.81 0 155 120 400 170 37 min
#29 918 13 21 0.62 0 128 180 260 235 37 min
#30 707 13 17 0.76 0 126 140 380 5 38 min
#31 1131 13 11 1.18 0 126 460 220 30 37 min
#32 1108 13 17 0.76 0 126 280 300 39 37 min
#33 1288 13 23 0.57 0 113 80 400 105 33 min
#34 1021 12 6 2.0 0 359 360 320 374 37 min
#35 650 12 11 1.09 0 164 140 480 65 37 min
#36 692 11 1 11.0 0 973 120 1,080 120 37 min
#37 746 11 15 0.73 0 600 300 240 60 37 min
#38 917 11 3 3.67 0 356 360 300 55 37 min
#39 592 11 3 3.67 1 293 280 460 0 37 min
#40 1107 11 12 0.92 0 258 360 260 437 37 min
#41 734 11 23 0.48 0 140 180 320 5 37 min
#42 1005 11 25 0.44 0 118 60 420 55 37 min
#43 1195 11 8 1.38 0 81 40 560 501 37 min
#44 735 10 5 2.0 0 239 160 60 10 15 min
#45 580 10 15 0.67 0 97 220 260 435 37 min
#46 816 9 8 1.12 0 198 60 500 0 39 min
#47 2286 9 15 0.6 0 126 40 240 312 20 min
#48 1113 9 7 1.29 0 116 40 120 5 22 min
#49 1101 9 5 1.8 0 94 660 40 30 37 min
#50 726 8 11 0.73 0 174 160 520 659 37 min
#51 578 8 10 0.8 1 133 80 580 65 37 min
#52 8 6 1.33 0 126 0 80 5 7 min
#53 779 8 18 0.44 0 126 160 320 165 36 min
#54 671 8 16 0.5 0 105 300 200 5 37 min
#55 865 8 7 1.14 0 82 180 340 45 30 min
#56 872 8 9 0.89 0 79 80 160 10 36 min
#57 494 7 1 7.0 0 729 80 700 50 37 min
#58 879 7 24 0.29 0 128 160 420 759 37 min
#59 688 7 14 0.5 0 127 100 480 122 37 min
#60 1130 7 10 0.7 0 112 100 500 290 39 min
#61 1156 7 9 0.78 0 106 40 220 15 17 min
#62 786 6 18 0.33 0 188 180 380 95 37 min
#63 713 6 14 0.43 0 175 80 260 270 26 min
#64 602 6 7 0.86 0 105 140 180 225 25 min
#65 679 6 15 0.4 0 73 320 320 678 37 min
#66 573 6 17 0.35 0 69 360 560 350 37 min
#67 803 6 3 2.0 0 66 40 620 90 37 min
#68 680 6 16 0.38 0 53 100 460 1,776 40 min
#69 876 5 7 0.71 0 509 620 80 279 37 min
#70 789 5 12 0.42 0 209 380 220 210 37 min
#71 587 5 16 0.31 1 159 200 280 90 37 min
#72 742 5 13 0.38 0 147 140 520 1,601 37 min
#73 762 5 18 0.28 0 66 240 240 5 36 min
#74 5 5 1.0 0 52 40 60 80 8 min
#75 666 5 11 0.45 0 45 0 620 676 37 min
#76 482 4 16 0.25 1 286 160 440 75 37 min
#77 642 4 13 0.31 0 152 400 380 95 37 min
#78 750 4 8 0.5 1 104 180 520 550 37 min
#79 1038 4 6 0.67 0 82 120 120 0 17 min
#80 642 4 3 1.33 0 46 80 640 369 37 min
#81 524 4 6 0.67 0 41 60 540 120 37 min
#82 4 10 0.4 0 41 40 120 525 12 min
#83 718 4 5 0.8 1 37 60 220 85 16 min
#84 574 3 2 1.5 0 428 80 500 0 32 min
#85 530 3 20 0.15 0 76 280 200 215 39 min
#86 522 3 7 0.43 0 25 20 180 205 19 min
#87 742 2 4 0.5 0 392 80 640 40 37 min
#88 537 2 5 0.4 0 278 280 420 35 37 min
#89 730 2 6 0.33 0 153 40 620 500 37 min
#90 816 2 2 1.0 0 66 0 240 755 17 min
#91 455 2 11 0.18 0 46 160 420 315 40 min
#92 924 2 12 0.17 0 40 160 100 37 21 min
#93 535 2 9 0.22 0 27 0 120 0 18 min
#94 2 6 0.33 0 26 80 0 0 11 min
#95 543 2 14 0.14 0 18 0 300 5 25 min
#96 2 3 0.67 0 17 0 80 5 8 min
#97 321 2 4 0.5 0 15 80 440 0 37 min
#98 862 1 3 0.33 1 614 80 680 170 37 min
#99 1131 1 14 0.07 0 334 160 400 1,585 39 min
#100 617 1 4 0.25 0 269 260 460 200 37 min
#101 600 1 1 1.0 0 20 0 360 695 18 min
#102 612 1 10 0.1 0 14 160 540 30 37 min
#103 754 1 4 0.25 0 14 100 260 0 36 min
#104 746 1 6 0.17 0 12 80 60 0 22 min
#105 0 1 0.0 1 22 0 360 605 20 min
#106 563 0 4 0.0 0 4 0 340 205 28 min
#107 0 4 0.0 0 3 20 40 5 8 min
#108 0 0 0.0 0 1 0 20 25 3 min
#109 622 0 5 0.0 0 1 40 220 60 18 min
#110 476 0 10 0.0 0 1 160 500 900 37 min
#111 0 0 0.0 0 0 0 0 0 3 min
#112 0 2 0.0 0 0 0 20 0 2 min
#113 0 0 0.0 0 0 0 20 0 2 min
#114 0 0 0.0 0 0 0 0 0 0 min
#115 0 0 0.0 0 0 0 0 0 0 min
#116 0 0 0.0 0 0 0 0 0 0 min
#117 0 0 0.0 0 0 0 0 0 0 min
#118 0 0 0.0 0 0 0 0 0 1 min
#119 0 0 0.0 0 0 0 0 0 1 min
#120 0 1 0.0 0 0 80 220 453 21 min
#121 0 0 0.0 0 0 0 0 0 0 min
#122 0 0 0.0 0 0 0 0 0 0 min
#123 0 0 0.0 0 0 0 0 0 1 min
#124 0 0 0.0 0 0 0 0 0 37 min
#125 0 0 0.0 0 0 0 0 0 3 min
#126 0 0 0.0 0 0 0 0 0 0 min
#127 0 1 0.0 1 0 0 240 0 20 min
#128 0 0 0.0 0 0 0 0 0 2 min
#129 0 0 0.0 0 0 0 0 0 0 min
#130 0 0 0.0 0 0 0 40 0 3 min
#131 0 0 0.0 0 0 0 0 0 0 min
#132 0 0 0.0 0 0 0 0 0 0 min